Documentation Example 17 for PROC MI
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: MIEX17 */
/* TITLE: Documentation Example 17 for PROC MI */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: multiple imputation */
/* PROCS: MI */
/* DATA: */
/* */
/* SUPPORT: Yang Yuan UPDATE: Jan 4, 2013 */
/* REF: PROC MI, EXAMPLE 17 */
/* MISC: */
/****************************************************************/
data Mono2;
do Grd= 6 to 8;
do j=1 to 50;
Grade= Grd;
if (Grd=6) then do;
if (ranuni(999) > .80) then Grade= .;
end;
else if (ranuni(99) > .95) then Grade= .;
if (j < 26) then Study= 1;
else Study= 0;
Score0= 70 + 3*rannor(1);
if (Score0 >= 100) then Score0= 100 - 10*ranuni(99);
Score= Score0 + 2*rannor(99) + 2;
if (Study = 1) then do;
Score= Score + 3;
if (Grd = 6) then Score= Score + 1;
if (Grd = 8) then Score= Score + 3;
end;
output;
end; end;
drop Grd j;
run;
proc print data=Mono2(obs=10);
var Grade Score0 Score Study;
title 'First 10 Obs in the Student Test Data';
run;
proc mi data=Mono2 seed=34857 nimpute=20 out=outex17;
class Study Grade;
monotone logistic (Grade / link=glogit);
mnar adjust( Grade (event='6') /shift=2);
var Study Score0 Score Grade;
run;
proc print data=outex17(obs=10);
var _Imputation_ Grade Study Score0 Score;
title 'First 10 Observations of the Imputed Student Test Data Set';
run;